Literature DB >> 24325848

Differentiation of large (≥ 5 cm) gastrointestinal stromal tumors from benign subepithelial tumors in the stomach: radiologists' performance using CT.

Ye Ra Choi1, Se Hyung Kim2, Sun-Ah Kim1, Cheong-Il Shin3, Hyung Jin Kim1, Seong Ho Kim1, Joon Koo Han3, Byung Ihn Choi3.   

Abstract

PURPOSE: To identify significant CT findings for the differentiation of large (≥ 5 cm) gastric gastrointestinal stromal tumors (GIST) from benign subepithelial tumors and to assess whether radiologists' performance in differentiation is improved with knowledge of significant CT criteria.
MATERIALS AND METHODS: One-hundred twenty patients with pathologically proven large (≥ 5 cm) GISTs (n=99), schwannomas (n=16), and leiomyomas (n=5) who underwent CT were enrolled. Two radiologists (A and B) retrospectively reviewed their CT images in consensus for the location, size, degree and pattern of enhancement, contour, growth pattern and the presence of calcification, necrosis, surface ulceration, or enlarged lymph nodes. CT findings considered significant for differentiation were determined using uni- and multivariate statistical analyses. Thereafter, two successive review sessions for the differentiation of GIST from non-GIST were independently performed by two other reviewers (C and D) with different expertise of 2 and 9 years using a 5-point confidence scale. At the first session, reviewers interpreted CT images without knowledge of significant CT findings. At the second session, the results of statistical analyses were provided to the reviewers. To assess improvement in radiologists' performance, a pairwise comparison of receiver operating curves (ROC) was performed.
RESULTS: Heterogeneous enhancement, presence of necrosis, absence of lymph nodes, and mean size of ≥ 6 cm were found to be significant for differentiating GIST from schwannoma (P<0.05). Non-cardial location, heterogeneous enhancement, and presence of necrosis were differential CT features of GIST from leiomyoma (P<0.05). Multivariate analyses indicated that absence of enlarged LNs was the only statistically significant variable for GIST differentiating from schwannoma. The area under the curve of both reviewers obtained using ROC significantly increased from 0.682 and 0.613 to 0.903 and 0.904, respectively, with information of the significant CT findings differentiating GISTs from non-GISTs (P<0.001).
CONCLUSION: Non-cardial location, heterogeneous enhancement, presence of necrosis, larger lesion size, and absence of lymphadenopathy are highly suggestive CT findings for large GISTs in differentiation from schwannomas or leiomyomas. Regardless of radiologists' expertise, diagnostic performance in differentiation can be significantly improved with knowledge of these CT findings.
Copyright © 2013 Elsevier Ireland Ltd. All rights reserved.

Entities:  

Keywords:  Computed tomography; Gatrointestinal stromal tumors; Leiomyoma; Schwannoma; Stomach neoplasms; Subepithelial tumors

Mesh:

Year:  2013        PMID: 24325848     DOI: 10.1016/j.ejrad.2013.10.028

Source DB:  PubMed          Journal:  Eur J Radiol        ISSN: 0720-048X            Impact factor:   3.528


  21 in total

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Journal:  Surg Endosc       Date:  2016-09-08       Impact factor: 4.584

2.  Gastric sub-epithelial tumors: identification of gastrointestinal stromal tumors using CT with a practical scoring method.

Authors:  Ming Liu; Liheng Liu; Erhu Jin
Journal:  Gastric Cancer       Date:  2018-12-09       Impact factor: 7.370

3.  Differential diagnosis of liver metastases of gastrointestinal stromal tumors from colorectal cancer based on combined tumor biomarker with features of conventional ultrasound and contrast-enhanced ultrasound.

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Journal:  Abdom Radiol (NY)       Date:  2020-09

4.  Differentiation between gastrointestinal schwannomas and gastrointestinal stromal tumors by computed tomography.

Authors:  Ming-Yan He; Rong Zhang; Zhenpeng Peng; Yin Li; Ling Xu; Mengjie Jiang; Zi-Ping Li; Shi-Ting Feng
Journal:  Oncol Lett       Date:  2017-03-29       Impact factor: 2.967

5.  A radiologic diagnostic scoring model based on CT features for differentiating gastric schwannoma from gastric gastrointestinal stromal tumors.

Authors:  Jian-Xia Xu; Jie-Ni Yu; Xiao-Jie Wang; Yan-Xi Xiong; Yuan-Fei Lu; Jia-Ping Zhou; Qiao-Mei Zhou; Xiao-Yan Yang; Dan Shi; Xiao-Shan Huang; Shu-Feng Fan; Ri-Sheng Yu
Journal:  Am J Cancer Res       Date:  2022-01-15       Impact factor: 6.166

6.  Surgery for mesenchymal neoplasms of the esophagus: experience over 2 decades from a tertiary healthcare center in India.

Authors:  Lokesh Agarwal; Sujoy Pal; Nihar Ranjan Dash; Kumble Seetharama Madhusudhan; Prasenjit Das; Deepak Gunjan; Peush Sahni; Tushar Kanti Chattopadhyay
Journal:  Updates Surg       Date:  2022-09-23

Review 7.  State of the Art in the Treatment of Gastrointestinal Stromal Tumors.

Authors:  Benjami Garlipp; Christiane J Bruns
Journal:  Gastrointest Tumors       Date:  2015-04-21

8.  Perilesional Lymph Node Swelling Might be a Radiologic Clue for Appendiceal Schwannoma: A Case Report.

Authors:  Kunihito Suzuki; Kazuhiro Saito; Takafumi Yamada; Elly Arizono; Hidehiro Kumita; Kenta Kasahara; Kenji Katsumata; Koichiro Tasaki; Jun Matsubayashi; Toshitaka Nagao
Journal:  Curr Med Imaging       Date:  2021

9.  Status of the gastric mucosa with endoscopically diagnosed gastrointestinal stromal tumor.

Authors:  Kouichi Nonaka; Shinichi Ban; Yoshimitsu Hiejima; Rei Narita; Michio Shimizu; Masayasu Aikawa; Ken Ohata; Nobuyuki Matsuhashi; Shin Arai; Hiroto Kita
Journal:  Diagn Ther Endosc       Date:  2014-07-02

10.  Feasibility and Diagnostic Yield of Endoscopic Ultrasonography-Guided Fine Needle Biopsy With a New Core Biopsy Needle Device in Patients With Gastric Subepithelial Tumors.

Authors:  Minju Lee; Byung-Hoon Min; Hyuk Lee; Sangjeong Ahn; Jun Haeng Lee; Poong-Lyul Rhee; Jae J Kim; Tae Sung Sohn; Sung Kim; Kyoung-Mee Kim
Journal:  Medicine (Baltimore)       Date:  2015-10       Impact factor: 1.817

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